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eccenca leverages the power of two leading open source software initiatives, SMILA and Ontowiki. Both of these projects initiated and implemented by the eccenca team a number of partners around the world. While SMILA and its enterprise distribution eccenca EE focus on analyzing and searching large amounts of primarily unstructured data, Ontowiki focusses on bringing structure and semantic coherence to heterogeneous data sources. On the one hand this structure may be used for an enhanced semantic search experience throughout the unstructured data sources. The most simple way of bringing such coherence to heterogeneous data sources is by defining common vocabularies or by combining existing vocabularies into integrated ontologies.
eccenca Linked Data Suite (eLDS) is a very powerful tool for documenting and managing your vocabularies. It allows you to map them internally using OWL and SKOS but also allows you to link and integrate them with external vocabularies (such as UMLS) or RDF data sources (like dbpedia). eLDS also provides full capability of publishing, linking and consuming RDF Data and thus is the ideal starting point for replicating the success of the linked data web within your enterprise or ecosystem.
If your environment consiste of such heterogeneous data sources, multiple vocabularies, many different data models, tags or document formats ... and the amount of information keeps growing, Then you understand what Gartner is calling the "Data Challenge". eccenca EE will help you make all these sources and formats searcheable from one interface. eccenca LDS will allow you to make sense of the information by making their inherent semantics explicit and useful for you.